Interdisciplinary Chemistry Based on Integration of Liquid Crystals and Conjugated Polymers: Development and Progress
Sign Up to like & getrecommendations! Published in 2019 at "Bulletin of the Chemical Society of Japan"
DOI: 10.1246/bcsj.20190092
Abstract: The helical structures and optoelectronic functions of conjugated polymers were dynamically controlled using an external force-responsive liquid crystal field, leading to cultivation and developmen... read more here.
Keywords: interdisciplinary chemistry; integration liquid; conjugated polymers; chemistry ... See more keywords
Voting-based integration algorithm improves causal network learning from interventional and observational data: An application to cell signaling network inference.
Sign Up to like & getrecommendations! Published in 2021 at "PloS one"
DOI: 10.1371/journal.pone.0245776
Abstract: In order to increase statistical power for learning a causal network, data are often pooled from multiple observational and interventional experiments. However, if the direct effects of interventions are uncertain, multi-experiment data pooling can result… read more here.
Keywords: causal network; voting based; network; network inference ... See more keywords
Taylor Series Based Integration in Electric Circuits Simulations
Sign Up to like & getrecommendations! Published in 2019 at "Advances in Electrical and Electronic Engineering"
DOI: 10.15598/aeee.v17i3.3369
Abstract: This paper deals with the extremely precise, stable and fast solution of the ordinary differential equations. The solution of these is performed using a method based on the Taylor series - The Modern Taylor Series… read more here.
Keywords: taylor series; series based; series; integration electric ... See more keywords
Machine learning-based integration develops an immune-related risk model for predicting prognosis of high-grade serous ovarian cancer and providing therapeutic strategies
Sign Up to like & getrecommendations! Published in 2023 at "Frontiers in Immunology"
DOI: 10.3389/fimmu.2023.1164408
Abstract: Background High-grade serous ovarian cancer (HGSOC) is a highly lethal gynecological cancer that requires accurate prognostic models and personalized treatment strategies. The tumor microenvironment (TME) is crucial for disease progression and treatment. Machine learning-based integration… read more here.
Keywords: related risk; machine; machine learning; based integration ... See more keywords
Feedback-Based Integration of the Whole Process of Data Anonymization in a Graphical Interface
Sign Up to like & getrecommendations! Published in 2019 at "Algorithms"
DOI: 10.3390/a12090191
Abstract: The interactive, web-based point-and-click application presented in this article, allows anonymizing data without any knowledge in a programming language. Anonymization in data mining, but creating safe, anonymized data is by no means a trivial task.… read more here.
Keywords: anonymization; feedback based; process; based integration ... See more keywords